AI in medicine: HINT, forecasting and communication

Lung cancer is one of the most common malignant tumors in the world, and it often progresses to advanced stages, affecting other organs. Brain metastases are particularly common in such cases. Scientists have trained a machine learning algorithm using 118 biopsy samples from patients with early-stage lung cancer to predict the development of brain cancer. The algorithm has achieved an accuracy rate of 87%, which is significantly better than the average of 57.3% efficiency rate of the four pathologists involved in the study.

AI tools are being used in several ways to improve doctor-patient communication. One such application is a smartphone app that records visits and organizes all the information into a note that is available later. In addition, AI can be used to generate messages approved by doctors or nurses and sent to patients. Although not yet perfect, AI solutions can save doctors’ time and relieve them of documentation-related tasks.

AI is also being used to manage clinical trials. A group of researchers has developed the HINT algorithm that can predict the success of a clinical trial based on information about the drug molecule, the disease under investigation, and the patient’s qualification criteria. This predictive power allows pharmaceutical companies to make the necessary changes to the study, potentially improving its outcome.